Sex differences in the impact of electronic nicotine vapor on corticotropin-releasing factor receptor 1 neurons in the mouse ventral tegmental area
Zhu, M.; Rogers, N. G.; Jahad, J. V.; Herman, M. A.
Show abstract
Nicotine engages dopamine neurons in the ventral tegmental area (VTA) to encode reward and drive the development of nicotine addiction, however how nicotine selectively alters other VTA populations remains to be determined. Here, we used male and female CRF1-GFP mice and nicotine vapor exposure to examine the effects of nicotine in VTA corticotropin-releasing factor receptor 1 (CRF1) neurons. We use immunohistochemistry and electrophysiology to examine neuronal activity, excitability, and inhibitory signaling. We found that VTA CRF1 neurons are mainly dopaminergic and project to the nucleus accumbens (VTA-NAcCRF1 neurons). VTA-NAcCRF1 neurons show greater phasic inhibition in naive females and greater focal nicotine-induced increases in firing in naive males. Following acute nicotine vapor exposure, phasic inhibition was not altered, but focal nicotine-induced tonic inhibition was enhanced in females and diminished in males. Acute nicotine vapor exposure did not affect firing in VTA-NAcCRF1 neurons, but females showed lower baseline firing and higher focal nicotine-induced firing. Activity (cFos) was increased in the CRF1 dopaminergic VTA population in both sexes, but with greater increases in females. Following chronic nicotine vapor exposure, both sexes displayed reduced basal phasic inhibition and the sex difference in tonic inhibition following acute vapor exposure was no longer observed. Additionally, activity of the CRF1 dopaminergic VTA population was no longer elevated in either sex. These findings reveal sex- and exposure-dependent changes in mesolimbic VTA-NAc CRF1 neuronal activity, inhibitory signaling, and nicotine sensitivity following nicotine vapor exposure. These changes potentially contribute to nicotine-dependent behaviors and the intersection between stress, anxiety, and addiction.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Optogenetic stimulation of lateral hypothalamic orexin/dynorphin inputs in the ventral tegmental area potentiates mesolimbic dopamine neurotransmission and promotes reward-seeking behaviours. 95%
- Dopamine transmission at D1 and D2 receptors in the nucleus accumbens contributes to the expression of incubation of cocaine craving 94%
- Release of endogenous dynorphin opioids in the prefrontal cortex disrupts cognition 94%
Similar papers in this journal
- Relapse-like behavior and nAChR sensitization following intermittent access nicotine self-administration 97%
- Adolescent binge drinking leads to long lasting changes in cortical microcircuits in mice 94%
- Chronic ethanol exposure produces long-lasting, subregion-specific physiological adaptations in RMTg-projecting mPFC neurons 94%
Similar papers in this journal
- Epac2 in midbrain dopamine neurons contributes to cocaine reinforcement via facilitation of dopamine release 96%
- Alcohol Drinking Alters Stress Response to Predator Odor via Extended Amygdala Kappa Opioid Receptor Signaling in Male Mice 95%
- Cue- versus reward-encoding basolateral amygdala projections to nucleus accumbens 95%
Similar papers in this journal
- The small G-protein Rac1 in the dorsomedial striatum promotes alcohol-dependent structural plasticity and goal-directed learning in mice 95%
- The mesolimbic dopamine signatures of relapse to alcohol-seeking 94%
- Vaporized cannabis extracts have reinforcing properties and support conditioned drug-seeking behavior in rats 94%
Similar papers in this journal
- Alcohol dependence activates ventral tegmental area projections to central amygdala in male mice and rats 96%
- Cocaine and Morphine Converge to Disrupt Chloride Homeostasis in Ventral Tegmental Area GABA Neurons 96%
- Chemogenetic Inhibition of Corticostriatal Circuits Reduces Cued Reinstatement of Methamphetamine Seeking 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.